[Retracted] Research on the Measurement, Evolution, and Driving Factors of Green Innovation Efficiency in Yangtze River Economic Belt: A Super-SBM and Spatial Durbin Model

Table 8

Estimation and test results based on spatial Durbin model (SDM) for the driving factor.

	OLS	TF	SF	STF
LnED	0.1813	0.1255	0.2536	0.3487
	7.17	4.23	5.36	6.91
LnIS	0.0521	0.074	0.0867	0.1356
	0.82	1.32	1.43	0.38
LnFDI	0.023	0.017	1.551	0.027
	0.639	2.35	3.75	4.11
LnGS	0.003	0.003	0.030	0.029
	0.38	0.13	2.45	2.99
LnER	0.002	0.003	0.019	0.005
	1.17	2.04	2.91	0.67
WLnED		−0.1675	−0.2036	−0.1593
		−2.34	−3.12	−4.02
WLnIS		0.074	0.0867	0.1356
		1.32	1.22	0.46
WLnFDI		0.017	1.551	0.027
		2.35	4.00	2.06
WLnGS		0.001	0.030	0.029
		0.13	2.40	2.99
WLnER		0.004	0.021	0.003
		−0.44	−0.22	−0.44
	0.434	−0.464	−0.003	−0.117
	7.57	7.53	4.76	0.96
R^2		0.642	0.643	0.709
log-L		568.895	683.685	709.185

, , and represent the significance level at 1%, 5%, and 10%.